Promoter-enhancer interactions identified from Hi-C data using probabilistic models and hierarchical topological domains

Proximity-ligation methods like Hi-C map DNA-DNA interactions and reveal its organization into topologically associating domains (TADs). Here the authors describe PSYCHIC, a computational approach for analysing Hi-C data that allows the identification of promoter-enhancer interactions.

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Detalles Bibliográficos
Autores principales:	Gil Ron, Yuval Globerson, Dror Moran, Tommy Kaplan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/68db1c1c65d14e61bd6b9fb135f785e7
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id	oai:doaj.org-article:68db1c1c65d14e61bd6b9fb135f785e7
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spelling	oai:doaj.org-article:68db1c1c65d14e61bd6b9fb135f785e72021-12-02T17:06:08ZPromoter-enhancer interactions identified from Hi-C data using probabilistic models and hierarchical topological domains10.1038/s41467-017-02386-32041-1723https://doaj.org/article/68db1c1c65d14e61bd6b9fb135f785e72017-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-02386-3https://doaj.org/toc/2041-1723Proximity-ligation methods like Hi-C map DNA-DNA interactions and reveal its organization into topologically associating domains (TADs). Here the authors describe PSYCHIC, a computational approach for analysing Hi-C data that allows the identification of promoter-enhancer interactions.Gil RonYuval GlobersonDror MoranTommy KaplanNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Gil Ron Yuval Globerson Dror Moran Tommy Kaplan Promoter-enhancer interactions identified from Hi-C data using probabilistic models and hierarchical topological domains
description	Proximity-ligation methods like Hi-C map DNA-DNA interactions and reveal its organization into topologically associating domains (TADs). Here the authors describe PSYCHIC, a computational approach for analysing Hi-C data that allows the identification of promoter-enhancer interactions.
format	article
author	Gil Ron Yuval Globerson Dror Moran Tommy Kaplan
author_facet	Gil Ron Yuval Globerson Dror Moran Tommy Kaplan
author_sort	Gil Ron
title	Promoter-enhancer interactions identified from Hi-C data using probabilistic models and hierarchical topological domains
title_short	Promoter-enhancer interactions identified from Hi-C data using probabilistic models and hierarchical topological domains
title_full	Promoter-enhancer interactions identified from Hi-C data using probabilistic models and hierarchical topological domains
title_fullStr	Promoter-enhancer interactions identified from Hi-C data using probabilistic models and hierarchical topological domains
title_full_unstemmed	Promoter-enhancer interactions identified from Hi-C data using probabilistic models and hierarchical topological domains
title_sort	promoter-enhancer interactions identified from hi-c data using probabilistic models and hierarchical topological domains
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/68db1c1c65d14e61bd6b9fb135f785e7
work_keys_str_mv	AT gilron promoterenhancerinteractionsidentifiedfromhicdatausingprobabilisticmodelsandhierarchicaltopologicaldomains AT yuvalgloberson promoterenhancerinteractionsidentifiedfromhicdatausingprobabilisticmodelsandhierarchicaltopologicaldomains AT drormoran promoterenhancerinteractionsidentifiedfromhicdatausingprobabilisticmodelsandhierarchicaltopologicaldomains AT tommykaplan promoterenhancerinteractionsidentifiedfromhicdatausingprobabilisticmodelsandhierarchicaltopologicaldomains
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Promoter-enhancer interactions identified from Hi-C data using probabilistic models and hierarchical topological domains

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